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cs.CV2026
AnyPcc: Compressing Any Point Cloud with a Single Universal Model
Kangli Wang, Qianxi Yi, Yuqi Ye +2
Generalization remains a critical challenge in deep learning-based point cloud geometry compression. While existing methods perform well on standard benchmarks, their performance c…
cs.CV2025
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
Changhao Peng, Yuqi Ye, Wei Gao
Gaussian and Laplacian entropy models are proved effective in learned point cloud attribute compression, as they assist in arithmetic coding of latents. However, we demonstrate thr…
cs.CV2025
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach
Kangli Wang, Wei Gao
Learning-based point cloud compression methods have made significant progress in terms of performance. However, these methods still encounter challenges including high complexity,…